Python for Everybody: Exploring Data In Python 3

Python for Everybody: Exploring Data In Python 3

This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.

Publication date: 09 Apr 2016

ISBN-10: 1530051126

ISBN-13: 9781530051120

Paperback: 245 pages

Views: 5,903

Python for Everybody: Exploring Data In Python 3

Python for Everybody: Exploring Data In Python 3 This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.
Tag(s): Data Science Introduction to Computer Programming Python
Publication date: 09 Apr 2016
ISBN-10: 1530051126
ISBN-13: 9781530051120
Paperback: 245 pages
Views: 5,903
Document Type: Book
Publisher: CreateSpace Independent Publishing Platform
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 07 Sep 2016 07:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported:
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From the Book Description:
Sue Blumenberg and Elliott Hauser wrote:Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.

This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information". There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.




About The Editor(s)


Technical writer/editor at NASA Ames Research Center.

Sue Blumenberg

Technical writer/editor at NASA Ames Research Center.


Elliott Hauser is a PhD Student in information science at UNC Chapel Hill. He's hacking education as one of the cofounders of Trinket.io

Elliott Hauser

Elliott Hauser is a PhD Student in information science at UNC Chapel Hill. He's hacking education as one of the cofounders of Trinket.io


About The Author(s)


Charles Severance (@drchuck) is a Clinical Associate Professor in the School of Information at the University of Michigan where he teaches Informatics courses; he has also taught Computer Science at Michigan State University. Previously he was the Executive Director of the Sakai Foundation and the Chief Architect of the Sakai Project (www.sakaiproject.org).

Charles Severance

Charles Severance (@drchuck) is a Clinical Associate Professor in the School of Information at the University of Michigan where he teaches Informatics courses; he has also taught Computer Science at Michigan State University. Previously he was the Executive Director of the Sakai Foundation and the Chief Architect of the Sakai Project (www.sakaiproject.org).


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